Due to its noninvasive character, optical coherence tomography (OCT) has become a
popular diagnostic method in clinical settings. However, the low-coherence interferometric …

Early fault feature extraction and fault diagnosis are of great importance for predictive
maintenance of rotating machinery. To accurately extract early fault features from original …

In developing countries, there is more concern for Alzheimer's disease (AD) by public health
professionals due to its catastrophic effects on the elderly. Early detection of this disease …

In the past decade, tensors have become increasingly attractive in different aspects of signal
and image processing areas. The main reason is the inefficiency of matrices in representing …

Coronary artery disease (CAD) is a cardiovascular condition with high morbidity and
mortality. Intravascular optical coherence tomography (IVOCT) has been considered as an …

Optical coherence tomography (OCT) is a non-invasive and effective tool for the imaging of
retinal tissue. However, the heavy speckle noise, resulting from multiple scattering of the …

This paper suggests a novel hybrid tensor-ring (TR) decomposition and first-order tensor-
based total variation (FOTTV) model, known as the TRFOTTV model, for super-resolution …

The extraction of contrast-filled vessels from X-ray coronary angiography (XCA) image
sequence has important clinical significance for intuitively diagnosis and therapy. In this …

In this paper, the problem of image super-resolution for Optical Coherence Tomography
(OCT) has been addressed. Due to the motion artifacts, OCT imaging is usually done with a …

Hyperspectral imaging is an area of active research with many applications in remote
sensing, mineral exploration, and environmental monitoring. Deep learning and, in …